Shen.AI Company Profile

Background

Mission and Vision

Shen.AI is dedicated to revolutionizing health diagnostics by making them accessible and precise through AI-powered, camera-based technology. The company's mission is to bridge the global healthcare gap by enabling individuals to monitor vital signs using everyday devices like smartphones and computers.

Primary Area of Focus

Shen.AI specializes in developing software that measures vital signs—such as blood pressure, heart rate, and other health metrics—through facial scans using a device's camera. This non-invasive approach aims to provide early detection and preventive care, addressing global healthcare challenges like hypertension and cardiovascular diseases.

Industry Significance

By transforming smartphones into powerful medical devices, Shen.AI offers a scalable and efficient solution for health monitoring. This innovation is particularly significant in the digital health sector, as it enables remote patient monitoring and reduces the need for physical medical devices, thereby lowering healthcare costs and increasing accessibility.

Key Strategic Focus

Core Objectives

• Enhance Accessibility: Provide individuals worldwide with the ability to monitor their health using devices they already own.

• Ensure Accuracy: Deliver clinically validated measurements comparable to traditional medical devices.

• Promote Preventive Care: Enable early detection of health issues to facilitate timely interventions.

Areas of Specialization

• AI-Powered Health Monitoring: Utilizing artificial intelligence to analyze facial scans for vital sign measurements.

• Remote Patient Monitoring: Offering solutions that allow healthcare providers to monitor patients without the need for in-person visits.

• Digital Health Integration: Providing software development kits (SDKs) for seamless integration into existing health platforms.

Key Technologies Utilized

• Remote Photoplethysmography (rPPG): A non-contact optical method for detecting blood volume changes in the skin.

• Multi-Tonal Sensing Technology: Ensures accurate readings across various skin tones and lighting conditions.

• Proprietary Deep Learning AI Models: Trained on extensive datasets to ensure high accuracy in health metric estimations.

Primary Markets Targeted

• Healthcare Providers: For virtual triage, telehealth services, and remote patient monitoring.

• Digital Health Platforms: Including corporate wellness programs, mental well-being apps, and chronic disease management tools.

• Insurance Providers: For digital scoring, dynamic underwriting, and preventive health initiatives.

Financials and Funding

Funding History

• Seed Round (February 2021): Raised $500,000.

• Seed Round (February 2022): Raised $2 million, bringing the total to $2.5 million.

• Accelerator/Incubator Participation (March 2023): Participated in an accelerator program.

• Accelerator/Incubator Participation (September 2023): Engaged in another accelerator program.

Notable Investors

• Superhero Capital: A venture capital firm from Finland.

• SMOK VC: Based in Poland.

• GoBeyond Capital: A venture capital firm.

• Verge HealthTech VC: Based in Singapore.

• Individual Investors: Including Aaron Patzer, Martin Tajur, and Ragnar Sass.

Intended Utilization of Capital

The funds have been allocated towards:

• Product Development: Enhancing the AI algorithms and expanding the range of measurable health metrics.

• Clinical Validation: Conducting studies to ensure the accuracy and reliability of the technology.

• Market Expansion: Establishing partnerships and integrating the technology into various health platforms globally.

Pipeline Development

Key Pipeline Candidates

• Advanced Health Metrics: Expanding the range of measurable signs to include additional health indicators.

• Enhanced AI Algorithms: Improving the accuracy and speed of measurements through continuous learning and data integration.

• Broader Platform Integration: Developing SDKs compatible with a wider range of devices and operating systems.

Stages of Development

• Research and Development: Ongoing efforts to refine technology and expand capabilities.

• Clinical Trials: Conducting studies to validate new features and ensure compliance with medical standards.

• Product Deployment: Rolling out updates and new features to existing partners and platforms.

Target Conditions

• Cardiovascular Diseases: Early detection and monitoring of conditions like hypertension.

• Mental Health: Assessing stress levels and other mental health indicators.

• General Wellness: Providing users with comprehensive health assessments for preventive care.

Timelines for Anticipated Milestones

• Short-Term (6-12 Months): Completion of current clinical trials and regulatory approvals.

• Mid-Term (1-2 Years): Launch of new health metrics and expanded platform compatibility.

• Long-Term (2+ Years): Establishment of Shen.AI as a standard tool in digital health monitoring globally.

Technological Platform and Innovation

Proprietary Technologies

• Remote Photoplethysmography (rPPG): Enables non-contact measurement of blood volume changes in the skin.

• Multi-Tonal Sensing Technology: Ensures accurate readings across diverse skin tones and lighting conditions.

Significant Scientific Methods

• Deep Learning AI Models: Trained on over 5 million heartbeats from 50,000 recordings to ensure high accuracy.

• Edge Computing: Processes data directly on the device, ensuring privacy and immediate results.

Leadership Team

Remigiusz Kościelny (CEO)

• Background: Entrepreneur with 20 years of experience in digital product creation and delivery. Co-founder of Vivid Games, a prominent Polish mobile game developer with over 125 million downloads.

• Role: Oversees company strategy, fundraising, and team management.

Przemysław Jaworski (CTO)

• Background: Experienced entrepreneur in product and software design. Founder of ZMorph S.A., a 3D printer manufacturer, and Voxelizer software.

• Role: Leads technological development and innovation within the company.

Scientific Team

• Leszek Pstraś, Ph.D.: Specializes in biomedical engineering at the Polish Academy of Sciences.

• Agnieszka Siennicka, Ph.D.: Expert in physiology at the Medical University of Wrocław.

• Bartłomiej Paleczny, Ph.D.: Focuses on physiology at the Medical University of Wrocław.

• Prof. Piotr Winkielman: Specializes in emotion detection at UCSD.

• Mateusz Gola, Ph.D.: Expert in emotion detection at UCSD.

• Michał Olszanowski, Ph.D.: Focuses on mental markers at SWPS.

• Prof. Dr. Gholamreza Anbarjafari: Specializes in computer vision and machine learning at the University of Tartu.

• Przemysław Marcowski, Ph.D.: Expert in emotion detection at UCSD.

• Cagri Ozcinar, Assoc. Prof.: Focuses on computer vision and machine learning at the University of Tartu.

Leadership Changes

As of the latest available information, there have been no recent significant changes or appointments within Shen.AI's leadership team.

Competitor Profile

Market Insights and Dynamics

The digital health monitoring market is experiencing rapid growth, driven by increasing demand for remote patient monitoring and preventive healthcare solutions. The integration of AI and machine learning technologies is enhancing the accuracy and accessibility of health diagnostics, making them more user-friendly and cost-effective.

Competitor Analysis

• UE LifeSciences: Founded in 2009, focuses on developing non-invasive cancer detection solutions.